This project seeks to estimate sport fish harvest and releases of rockfish in Alaska waters by improving on the Howard et al. (2020) methods and expand the time series back to 1977 when the statewide harvest survey (SWHS) was first implemented. This is essentially a Bayesian version of the Howard methods that allows for more appropriate and defensible sharing of information between areas, handles missing data in a more appropriate manor, accurately propagates uncertainty throughout the estimation procedure and replaces the Howard decision tree approach to low sample sizes with a hierarchical model. The methods and results for generating harvest estimates are generally consistent between the Bayesian model and the Howard methods. Harvest estimates are consistent with Howard estimates during contemporary times, but may differ based on more appropriate weighting of SWHS and logbook data, including estimating and correcting bias in the SWHS data.

**Table 1.** Summary of key improvements in reconstructiing sport fish removals of rockfish using the Bayesian model as compared to the Howard et al. (2020) methods.
Issue	Howard	Bayes
Time series	1999 - present	1977 - present
Bias in SWHS	Not explicitly dealt with. Relies on logbook data and ratios of guided/unguided from SWHS data to estimate unguided releases and harvests.	Explicitly estimates bias in SWHS harvest and release estimates based on logbook data.
Species composition of releases	Assumes that species composition of releases is equal to that of the harvest, which is not evident in the logbook data.	Recognizes different release probabilities by species / species assemblage and estimates it from logbook data and bias corrected SWHS data
Sample size limitations	Uses sample size threshholds such that when areas fall below those threshholds values are borrowed from nearby areas.	Uses a hierarchichacal modelling approach that shares information between areas in the same region. Thus all data is used, even with small sample sizes. This is a more sound method that avoids assumptions and uses all of the data.
Error propogation	Error is propogated when variance estimates are available, but there is uncertainty associated with borrowing values from nearby areas, or the assumption of species compositions being identical in harvest and releases, are not dealt with.	By breaking the assumption that species composition is equal between harvests and releases, uncertainty in the release estimates is more reflective of the fishery. Furthermore, the hyerarchichal approach more accurately captures uncertainy within and between areas within a region.

Figure 1.- Data sources for estimating rockfish harvests and releases in ADF&G commercial fisheries management units. Note that initial rockfish harvest estimates were not differentiated into species assemblage or species until 1998 when logbooks began differentiating by pelagic and non-pelagic. Logbooks began to collect data on yelloweye beginning in 2006. Port sampling programs to gather data on species composition of harvests began in 1996 in Southcentral and Kodiak and in 2006 in Southeast.

Figure 2.- SWHS harvest (left) and release (right) estimates from guided trips (x-axis) versus repoted harvests from charter logbooks (y-axis).

Results

Model: LB_fit_3pH
Model Run: Gen4int_indcomp_swhsR_FULL_pHB4pars_re0full_altwt_1xcvSEo_thru2024_5e+05_noSEoR_2025-12-07 (Naming convention: modelname_thruYEAR_iters_rundate)
Proportion of parmaters converged (Rhat <= 1.1): 0.9966
See end of document for summary of unconverged parameters.

Figure X.- Rhat values and proportion of parameters that converged (Rhat < 1.1.)

Estimate comparison

Since previous estimates of rockfish harvest have been produced these first 3 graphs will be used to show how the modeled estimates compare to the estimates produced earlier. For total rockfish the estimates are in general agreement although differences are noted. These estimates should be more reliable because they include both SWHS and guide logbook data, handle variance more appropriately, use hierarchical distributions when data is missing, directly consider observation error and are produced using reproducible research.

Figure 3.- Total rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 3.- Total rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Notes from Adam: When looking at only black rockfish the most significant differences are for the Prince William Sound Inside area. I did not spend a great deal of time tracking this down although it looks like the previous version used bad values for \(P_{(black)ayu}\) for at least unguided anglers. For the moment I would ignore the results for BSIA and SOKO2SAP. I think it is possible to give approximate values for these areas but it will require a little more coding which I have yet to do.

Figure 4.- Black rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

And black rockfish releases…

Figure 5.- Black rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 6.- Yellow rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 7.- Yellow rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 8.- DSR rockfish (excluding yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 9.- DSR rockfish releases (including yelloweye) 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 11.- Slope rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 12.- Slope rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 13.- Other rockfish (non-pelagic and non-yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 14.- Other rockfish (non-pelagic and non-yelloweye) releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Total Biomass Removal Estimates

Figure 15.- Black rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 16.- Yellow rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 17.- Pelagic rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 18.- Non-yelloweye, demersal shelf rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 19.- Slope rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Model fit

Logbook residuals

Figure 20.- Residuals from logbook harvests.

SWHS residuals

Figure 21.- Residuals from SWHS harvests.

Figure 22.- Residual of SWHS releases.

Parameter estimates

P(Charter)

These histograms show the posterior distribution of the mean percent of rockfish harvested by the charter fleet.

Figure 23.- Mean percent of harvest by charter anglers.

When considered annually we see the percent of rockfish harvested by the charter fleet follows our data fairly well although the model smooths out the changes and we just do not have much information about this ratio. Prior to 2011 the percent charter is confounded with SWHS bias and should be mostly discounted.

Figure 24.- Annual estimates of the percent of harvest by charter anglers for 16 commerical fishing manamgent areas, 1996-2023.

P(Harvest)

These plots show the fitted logistic line to the proportion of caught rockfish that are harvested. These estimates are used for hindcasting catch estimates based on the harvest data in early years when catch estimates are unavailable.

Figure 25.- Annual proportion of pelagic rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 26.- Annual proportion of yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 27.- Annual proportion of non-pelagic, non-yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note, that this is not estimated for Southeast areas because non=pelagics are divided between DSR (including yelloweye) and Slope species.

Figure 28.- Annual proportion of DSR rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

Figure 29.- Annual proportion of Slope rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

SWHS bias

Figure 23 shows the mean estimate for SWHS bias in harvests and releases. Cook Inlet, North Gulf Coast and North Southeast Inside all look pretty good while most other areas have substantial bias. Prince William Sound Inside has the largest bias. Bias in release estimates is substantial and whereas the SWHS appears to underestimate harvests, it appears to greatly overestimates releases by a factor of 2 or more in most areas as derived from logbook reported releases.

Figure 30.- Mean SWHS bias for harvests and catches. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

Our estimates of SWHS harvest bias track observations fairly well when he have guided harvest estimates. The estimates of release bias in the SWHS data track observed patterns to an extent, but appear to smooth these more volatile disagreements with the logbook data. Adam postulated in his initial start on this that some of this could be the result of the estimates of the proportion guided. This value was not modelled with a trend and thus applies a constant estimate when hindcasting. Data on these relationships could greatly improve this model.

Figure 31.- Annual estimates of SWHS bias in harvests and releases for 16 commerical fishing manamgent areas, 1996-2023. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

P(pelagic)

We model the percentage of pelagic rockfish in the harvest because we have the information for charter anglers (via logbooks) starting in 1998. Other than looking at the model estimates you can use Figure 25 to compare the two data streams for pelagic rockfish harvest. In general they are in agreement with major exceptions in Price William Sound inside, Prince William Sound outside (early in the time series) and South Southeast inside.

Figure 32.- Annual estimates of the percent of the sport harvest that was pelagic rockfish for 16 commerical fishing manamgent areas, 1996-2023.

P(black|pelagic)

Note that in Southeast Alaska we only have composition data starting in 2006. Tania dug up old SE data, but it did not provide any useful data for species apportionment. For the most part, P(black|pelagic) is relatively constant across areas, with the exception of Cook Inlet and NSEI in Southeast AK. It may be worth discussing whether the shifts in those areas is a result of improved or changing species identification rather than actual shift in the species composition of the catch.

Figure 33.- Annual estimates of the percent of the sport harvest of pelagic rockfish that were black rockfish for 16 commerical fishing manamgent areas, 1996-2023. Kodiak panels include data from a hydroacoustic survey and the proportion of pelagic rockfish that are black in those areas (red) and the adjusted proportions based on obseved harvests for charter (blue) and private (cyan) users.

P(yelloweye|non-pelagic / yelloweye|DSR)

Figure 34.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were yelloweye rockfish for 16 commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(DSR|non-pelagic)

Figure 35.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were DSR rockfish for 6 Southeast commerical fishing manamgent areas, 1996-2023.

P(slope|non-pelagic)

Figure 36.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were slope rockfish for 6 southeast commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(slope|non-pelagic & non-yellowye) For release estimates

## NULL

Weight Fits

Figure 37.- Mean weights of black rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 38.- Mean weights of yelloweye rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 39.- Mean weights of non-black, pelagic rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 40.- Mean weights of non-yelloweye, demersal shelf rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 41.- Mean weights of slope rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Summary of unconverged parameters:

The proportion of unconverged species composition proportional estimates that are near the bounds of 0 or 1 is 0.4692982

The proportion of unconverged true parameters (defined as Rhat > 1.01) that are also in excess of an Rhat of 1.1 is 0.06 while 0.94 are less than 1.1.

Table Xa. Species proportion derived quantities that are not with 0.05 of the 0 and 1 bounds and are not converged relative to an Rhat of 1.01.

variable	area_n	year	user	mean	median	lower	upper	Rhat	sd	skew	area
p_yellow	11	27	2	0.435	0.423	0.175	0.748	1.013	0.150	0.080	CSEO
p_pelagic	13	1	1	0.268	0.243	0.065	0.598	1.199	0.143	0.175	NSEI
p_pelagic	13	1	2	0.108	0.088	0.022	0.303	1.176	0.075	0.265	NSEI
p_yellow	13	1	1	0.590	0.543	0.158	0.993	1.021	0.280	0.168	NSEI
p_yellow	13	1	2	0.590	0.539	0.170	0.993	1.019	0.278	0.183	NSEI
p_pelagic	13	10	1	0.291	0.270	0.085	0.592	1.144	0.136	0.154	NSEI
p_pelagic	13	10	2	0.119	0.102	0.028	0.305	1.163	0.075	0.228	NSEI
p_yellow	13	10	1	0.592	0.546	0.150	0.992	1.021	0.279	0.165	NSEI
p_yellow	13	10	2	0.591	0.554	0.146	0.993	1.019	0.282	0.131	NSEI
p_pelagic	13	11	1	0.297	0.281	0.088	0.588	1.143	0.132	0.121	NSEI
p_pelagic	13	11	2	0.121	0.103	0.029	0.311	1.127	0.073	0.246	NSEI
p_yellow	13	11	1	0.594	0.549	0.154	0.993	1.019	0.280	0.161	NSEI
p_yellow	13	11	2	0.593	0.551	0.158	0.993	1.020	0.279	0.150	NSEI
p_pelagic	13	12	1	0.300	0.282	0.091	0.600	1.146	0.136	0.133	NSEI
p_pelagic	13	12	2	0.123	0.107	0.029	0.304	1.150	0.072	0.222	NSEI
p_yellow	13	12	1	0.590	0.541	0.165	0.993	1.019	0.280	0.175	NSEI
p_yellow	13	12	2	0.590	0.540	0.156	0.993	1.020	0.281	0.178	NSEI
p_pelagic	13	13	1	0.306	0.290	0.101	0.603	1.117	0.133	0.121	NSEI
p_pelagic	13	13	2	0.126	0.110	0.032	0.313	1.132	0.074	0.215	NSEI
p_yellow	13	13	1	0.591	0.547	0.153	0.992	1.021	0.280	0.157	NSEI
p_yellow	13	13	2	0.590	0.538	0.148	0.993	1.023	0.281	0.185	NSEI
p_pelagic	13	14	1	0.291	0.273	0.098	0.562	1.121	0.123	0.147	NSEI
p_pelagic	13	14	2	0.131	0.114	0.033	0.319	1.125	0.074	0.229	NSEI
p_yellow	13	14	1	0.589	0.545	0.163	0.993	1.022	0.279	0.158	NSEI
p_yellow	13	14	2	0.592	0.549	0.153	0.994	1.024	0.280	0.153	NSEI
p_pelagic	13	15	1	0.270	0.255	0.092	0.541	1.111	0.118	0.127	NSEI
p_pelagic	13	15	2	0.120	0.106	0.035	0.283	1.125	0.065	0.216	NSEI
p_yellow	13	15	1	0.590	0.547	0.160	0.992	1.022	0.280	0.154	NSEI
p_yellow	13	15	2	0.588	0.544	0.158	0.993	1.019	0.280	0.157	NSEI
p_pelagic	13	16	1	0.309	0.298	0.116	0.571	1.081	0.121	0.091	NSEI
p_pelagic	13	16	2	0.138	0.122	0.039	0.319	1.106	0.074	0.216	NSEI
p_yellow	13	16	1	0.588	0.546	0.159	0.993	1.020	0.279	0.151	NSEI
p_yellow	13	16	2	0.590	0.536	0.156	0.993	1.018	0.280	0.193	NSEI
p_pelagic	13	17	1	0.323	0.311	0.129	0.593	1.064	0.121	0.099	NSEI
p_pelagic	13	17	2	0.143	0.129	0.043	0.336	1.105	0.075	0.186	NSEI
p_yellow	13	17	1	0.592	0.553	0.157	0.992	1.024	0.281	0.139	NSEI
p_yellow	13	17	2	0.589	0.541	0.156	0.994	1.021	0.281	0.171	NSEI
p_pelagic	13	18	1	0.331	0.318	0.132	0.595	1.080	0.119	0.109	NSEI
p_pelagic	13	18	2	0.147	0.133	0.044	0.324	1.100	0.075	0.187	NSEI
p_yellow	13	18	1	0.593	0.556	0.163	0.993	1.021	0.280	0.132	NSEI
p_yellow	13	18	2	0.591	0.545	0.148	0.992	1.019	0.280	0.165	NSEI
p_pelagic	13	19	1	0.330	0.319	0.131	0.592	1.066	0.120	0.092	NSEI
p_pelagic	13	19	2	0.152	0.137	0.050	0.327	1.051	0.073	0.205	NSEI
p_yellow	13	19	1	0.588	0.543	0.157	0.993	1.021	0.281	0.160	NSEI
p_yellow	13	19	2	0.589	0.538	0.156	0.993	1.023	0.281	0.182	NSEI
p_pelagic	13	2	1	0.266	0.244	0.067	0.575	1.197	0.140	0.158	NSEI
p_pelagic	13	2	2	0.109	0.090	0.021	0.290	1.193	0.075	0.254	NSEI
p_yellow	13	2	1	0.590	0.549	0.156	0.993	1.017	0.280	0.146	NSEI
p_yellow	13	2	2	0.592	0.550	0.158	0.993	1.021	0.280	0.150	NSEI
p_pelagic	13	20	1	0.351	0.340	0.145	0.613	1.059	0.120	0.091	NSEI
p_pelagic	13	20	2	0.158	0.145	0.055	0.330	1.043	0.072	0.181	NSEI
p_yellow	13	20	1	0.589	0.537	0.157	0.992	1.018	0.281	0.185	NSEI
p_yellow	13	20	2	0.591	0.542	0.162	0.993	1.024	0.279	0.176	NSEI
p_pelagic	13	21	1	0.371	0.361	0.169	0.624	1.044	0.120	0.084	NSEI
p_pelagic	13	21	2	0.170	0.158	0.060	0.348	1.028	0.076	0.159	NSEI
p_yellow	13	21	1	0.587	0.537	0.164	0.993	1.028	0.279	0.179	NSEI
p_yellow	13	21	2	0.592	0.552	0.160	0.993	1.023	0.281	0.142	NSEI
p_pelagic	13	22	2	0.170	0.157	0.061	0.349	1.026	0.075	0.173	NSEI
p_yellow	13	22	1	0.586	0.539	0.151	0.993	1.022	0.282	0.166	NSEI
p_yellow	13	22	2	0.589	0.550	0.164	0.993	1.019	0.279	0.140	NSEI
p_yellow	13	23	1	0.562	0.514	0.125	0.991	1.022	0.290	0.166	NSEI
p_yellow	13	23	2	0.628	0.609	0.184	0.995	1.017	0.267	0.071	NSEI
p_yellow	13	24	1	0.565	0.514	0.131	0.990	1.026	0.287	0.178	NSEI
p_yellow	13	24	2	0.627	0.606	0.184	0.995	1.024	0.264	0.079	NSEI
p_yellow	13	25	1	0.567	0.523	0.131	0.991	1.024	0.284	0.155	NSEI
p_yellow	13	25	2	0.626	0.597	0.191	0.995	1.023	0.263	0.110	NSEI
p_yellow	13	26	1	0.554	0.511	0.129	0.991	1.027	0.287	0.150	NSEI
p_yellow	13	26	2	0.624	0.599	0.189	0.994	1.018	0.263	0.095	NSEI
p_yellow	13	27	1	0.538	0.482	0.117	0.990	1.031	0.286	0.196	NSEI
p_yellow	13	27	2	0.614	0.581	0.183	0.994	1.025	0.261	0.126	NSEI
p_yellow	13	28	1	0.545	0.501	0.128	0.989	1.032	0.272	0.162	NSEI
p_yellow	13	28	2	0.610	0.584	0.185	0.993	1.028	0.255	0.102	NSEI
p_yellow	13	29	1	0.499	0.444	0.126	0.983	1.048	0.256	0.215	NSEI
p_yellow	13	29	2	0.581	0.553	0.182	0.990	1.035	0.244	0.115	NSEI
p_pelagic	13	3	1	0.271	0.250	0.074	0.582	1.137	0.136	0.154	NSEI
p_pelagic	13	3	2	0.110	0.091	0.022	0.297	1.181	0.073	0.261	NSEI
p_yellow	13	3	1	0.591	0.550	0.150	0.993	1.019	0.281	0.146	NSEI
p_yellow	13	3	2	0.595	0.555	0.153	0.993	1.019	0.279	0.143	NSEI
p_pelagic	13	4	1	0.271	0.249	0.069	0.588	1.188	0.139	0.159	NSEI
p_pelagic	13	4	2	0.111	0.091	0.023	0.298	1.159	0.074	0.269	NSEI
p_yellow	13	4	1	0.588	0.545	0.156	0.993	1.021	0.282	0.153	NSEI
p_yellow	13	4	2	0.590	0.546	0.149	0.993	1.021	0.283	0.156	NSEI
p_pelagic	13	5	1	0.277	0.253	0.072	0.594	1.186	0.139	0.173	NSEI
p_pelagic	13	5	2	0.111	0.094	0.023	0.302	1.166	0.072	0.235	NSEI
p_yellow	13	5	1	0.592	0.559	0.159	0.992	1.023	0.279	0.118	NSEI
p_yellow	13	5	2	0.594	0.547	0.161	0.993	1.022	0.279	0.168	NSEI
p_pelagic	13	6	1	0.276	0.254	0.074	0.589	1.165	0.138	0.159	NSEI
p_pelagic	13	6	2	0.112	0.093	0.023	0.293	1.172	0.073	0.261	NSEI
p_yellow	13	6	1	0.591	0.549	0.150	0.993	1.019	0.280	0.150	NSEI
p_yellow	13	6	2	0.592	0.547	0.158	0.993	1.021	0.280	0.161	NSEI
p_pelagic	13	7	1	0.280	0.261	0.075	0.582	1.205	0.138	0.138	NSEI
p_pelagic	13	7	2	0.115	0.098	0.025	0.301	1.148	0.073	0.232	NSEI
p_yellow	13	7	1	0.590	0.547	0.149	0.993	1.022	0.280	0.153	NSEI
p_yellow	13	7	2	0.596	0.552	0.163	0.993	1.021	0.278	0.158	NSEI
p_pelagic	13	8	1	0.284	0.267	0.081	0.584	1.156	0.136	0.125	NSEI
p_pelagic	13	8	2	0.116	0.097	0.026	0.307	1.172	0.075	0.254	NSEI
p_yellow	13	8	1	0.592	0.553	0.158	0.992	1.019	0.280	0.139	NSEI
p_yellow	13	8	2	0.595	0.551	0.157	0.993	1.020	0.279	0.157	NSEI
p_pelagic	13	9	1	0.290	0.271	0.083	0.592	1.159	0.138	0.137	NSEI
p_pelagic	13	9	2	0.119	0.101	0.026	0.309	1.180	0.074	0.242	NSEI
p_yellow	13	9	1	0.589	0.546	0.153	0.993	1.023	0.281	0.153	NSEI
p_yellow	13	9	2	0.590	0.553	0.158	0.993	1.025	0.281	0.132	NSEI
p_yellow	14	7	1	0.575	0.563	0.259	0.966	1.010	0.181	0.066	NSEO
p_pelagic	16	1	1	0.390	0.386	0.152	0.669	1.015	0.136	0.029	SSEO
p_pelagic	16	1	2	0.370	0.361	0.144	0.639	1.013	0.133	0.068	SSEO
p_slope	16	10	2	0.079	0.058	0.010	0.264	1.013	0.070	0.301	SSEO
p_pelagic	16	14	2	0.374	0.365	0.150	0.638	1.012	0.128	0.070	SSEO
p_pelagic	16	3	1	0.387	0.382	0.146	0.663	1.014	0.136	0.037	SSEO
p_pelagic	16	3	2	0.367	0.354	0.134	0.638	1.010	0.133	0.098	SSEO
p_pelagic	16	4	2	0.368	0.356	0.141	0.650	1.011	0.134	0.090	SSEO
p_pelagic	16	5	1	0.392	0.389	0.150	0.664	1.012	0.135	0.022	SSEO
p_pelagic	16	5	2	0.370	0.363	0.142	0.639	1.011	0.132	0.053	SSEO
p_pelagic	16	6	1	0.390	0.386	0.154	0.657	1.011	0.133	0.030	SSEO
p_pelagic	16	9	1	0.394	0.386	0.158	0.665	1.011	0.134	0.060	SSEO
p_pelagic	3	1	1	0.541	0.546	0.267	0.789	1.013	0.137	-0.036	PWSI
p_pelagic	3	1	2	0.184	0.170	0.059	0.373	1.011	0.084	0.166	PWSI
p_pelagic	3	12	1	0.543	0.548	0.280	0.782	1.010	0.132	-0.038	PWSI
p_pelagic	3	16	2	0.185	0.173	0.062	0.384	1.012	0.083	0.144	PWSI
p_pelagic	3	3	2	0.186	0.172	0.062	0.388	1.013	0.086	0.163	PWSI
p_pelagic	3	6	2	0.183	0.171	0.060	0.370	1.018	0.081	0.147	PWSI
p_black	8	40	1	0.486	0.417	0.343	0.964	1.030	0.189	0.366	afognak

Table Xb. True parameters with an Rhat in excess of 1.1

variable	area_n	year/species	mean	median	lower	upper	Rhat	sd	skew	area
beta0_pH	1	1	0.584	0.591	0.212	0.910	1.117	0.178	-0.039	CI
beta1_pH	1	1	2.456	2.384	1.755	3.640	1.196	0.463	0.155	CI
beta2_pH	10	3	0.289	0.225	0.097	0.795	1.142	0.301	0.213	northeast
beta1_pH	11	1	3.363	3.275	2.619	4.768	1.120	0.522	0.169	CSEO
beta0_pelagic	13		-1.282	-1.266	-2.553	-0.140	1.318	0.678	-0.024	NSEI
beta2_pelagic	13		0.159	0.139	0.075	0.376	1.129	0.078	0.255	NSEI
beta3_pelagic	13		31.044	30.544	23.503	40.660	1.354	4.891	0.102	NSEI
beta2_yellow	13		-4.831	-3.201	-16.709	-0.318	1.172	4.687	-0.348	NSEI
beta2_yellow	14		-6.235	-4.935	-19.024	-0.354	1.109	5.092	-0.255	NSEO
beta0_pH	8	1	-0.654	-0.633	-1.430	-0.076	1.128	0.341	-0.062	afognak
beta0_H	8		5.922	6.467	-18.495	29.430	1.111	34.588	-0.016	afognak
beta2_pH	9	1	1.110	0.477	0.138	7.840	1.229	1.790	0.354	eastside

Table Xc. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.01.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.01	527.00	210.00	1,034.00	356.00
Prop. of total	0.72	0.28	0.74	0.26
Prop. median less than 1	0.25	0.21	0.30	0.43
Prop. median less than 10	0.35	0.56	0.50	0.74
Prop. median less than 50	0.46	0.80	0.62	0.81
Median of the median values	101.83	8.48	10.57	1.91
Mean of the median values	606.48	159.90	298.96	148.08
Mean skew of posteriors	0.23	0.29	0.27	0.25

Table Xd. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.1.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.1	39.00	15.00	57.00	40.00
Prop. of total	0.72	0.28	0.59	0.41
Prop. median less than 1	0.08	0.40	0.75	0.55
Prop. median less than 10	0.08	0.80	0.82	0.80
Prop. median less than 50	0.08	1.00	0.82	0.90
Median of the median values	338.91	2.11	0.04	0.55
Mean of the median values	629.04	8.02	46.97	8.96
Mean skew of posteriors	0.25	0.20	0.18	0.18

Table Xe. All parameters and derived quantities that are not converged relative to an Rhat of 1.1.

variable	Freq
beta0_H	1
beta0_pelagic	1
beta0_pH	2
beta1_pH	2
beta2_pelagic	1
beta2_pH	2
beta2_yellow	1
beta3_pelagic	1
Bp_ay	10
Bp_ayg	3
Bp_ayu	8
eps_pel	2
eps_pH	1
H_ayg	1
Hb_ay	10
Hb_ayg	6
Hb_ayu	7
Ho_ay	2
Ho_ayg	1
Ho_ayu	4
Hp_ay	15
Hp_ayg	9
Hp_ayu	11
Hs_ay	1
Hs_ayg	1
Hs_ayu	1
Hy_ay	4
Hy_ayg	1
Hy_ayu	6
p_pelagic	30
p_slope	1
R_ayg	4
R_ayu	2
Rb_ay	1
Rb_ayg	3
Rb_ayu	1
Rd_ayg	2
Rd_ayu	3
re_pelagic	8
re_pH	5
Ro_ay	13
Ro_ayg	7
Ro_ayu	30
Rp_ay	1
Rp_ayg	4
Rp_ayu	2
Rs_ayg	4
Rs_ayu	1
Ry_ay	12
Ry_ayg	4
Ry_ayu	26

Parameter estimates:

Summary Table of Parameter Estimates
Parameter	mean	sd	Lower_CI	Median	Upper_CI
mu_bc_H[1]	-0.019	0.069	-0.152	-0.022	0.122
mu_bc_H[2]	0.076	0.054	-0.024	0.073	0.192
mu_bc_H[3]	-0.272	0.068	-0.399	-0.273	-0.139
mu_bc_H[4]	-0.918	0.179	-1.278	-0.915	-0.570
mu_bc_H[5]	1.321	1.093	0.110	1.062	4.052
mu_bc_H[6]	-2.425	0.314	-3.031	-2.431	-1.788
mu_bc_H[7]	-0.455	0.103	-0.664	-0.452	-0.252
mu_bc_H[8]	0.245	0.350	-0.343	0.213	1.000
mu_bc_H[9]	-0.243	0.126	-0.485	-0.243	0.014
mu_bc_H[10]	0.061	0.065	-0.058	0.058	0.194
mu_bc_H[11]	-0.124	0.038	-0.198	-0.124	-0.049
mu_bc_H[12]	-0.249	0.108	-0.479	-0.244	-0.048
mu_bc_H[13]	-0.156	0.073	-0.299	-0.157	-0.015
mu_bc_H[14]	-0.307	0.090	-0.489	-0.307	-0.140
mu_bc_H[15]	-0.330	0.046	-0.418	-0.329	-0.236
mu_bc_H[16]	-0.158	0.369	-0.783	-0.188	0.660
mu_bc_R[1]	1.040	0.120	0.809	1.040	1.269
mu_bc_R[2]	1.015	0.077	0.856	1.016	1.157
mu_bc_R[3]	0.221	0.091	0.041	0.225	0.393
mu_bc_R[4]	0.661	0.203	0.234	0.671	1.059
mu_bc_R[5]	1.674	0.366	0.946	1.680	2.389
mu_bc_R[6]	-1.447	0.338	-2.099	-1.453	-0.772
mu_bc_R[7]	0.516	0.166	0.177	0.519	0.836
mu_bc_R[8]	0.644	0.150	0.362	0.639	0.939
mu_bc_R[9]	0.389	0.166	0.048	0.394	0.705
mu_bc_R[10]	0.897	0.101	0.701	0.895	1.089
mu_bc_R[11]	1.096	0.074	0.954	1.096	1.241
mu_bc_R[12]	0.874	0.161	0.564	0.871	1.187
mu_bc_R[13]	1.026	0.091	0.846	1.029	1.202
mu_bc_R[14]	0.852	0.121	0.607	0.856	1.080
mu_bc_R[15]	0.779	0.098	0.590	0.778	0.974
mu_bc_R[16]	1.262	0.111	1.043	1.261	1.477
tau_pH[1]	2.459	0.183	2.112	2.451	2.819
tau_pH[2]	1.564	0.148	1.295	1.556	1.873
tau_pH[3]	2.276	0.304	1.729	2.260	2.912
tau_pH[4]	1.114	0.175	0.810	1.100	1.496
tau_pH[5]	0.790	0.131	0.566	0.782	1.083
beta0_pH[1,1]	0.584	0.178	0.212	0.591	0.910
beta0_pH[2,1]	1.435	0.165	1.090	1.440	1.768
beta0_pH[3,1]	1.382	0.254	0.754	1.415	1.776
beta0_pH[4,1]	1.532	0.263	0.950	1.558	1.962
beta0_pH[5,1]	-0.816	0.389	-1.756	-0.777	-0.177
beta0_pH[6,1]	-0.560	0.453	-1.703	-0.454	0.042
beta0_pH[7,1]	0.752	0.010	0.732	0.753	0.772
beta0_pH[8,1]	-0.654	0.341	-1.430	-0.633	-0.076
beta0_pH[9,1]	-0.331	0.293	-0.984	-0.303	0.165
beta0_pH[10,1]	0.262	0.202	-0.172	0.276	0.622
beta0_pH[11,1]	0.043	0.322	-0.726	0.091	0.557
beta0_pH[12,1]	0.637	0.185	0.260	0.640	0.981
beta0_pH[13,1]	-0.640	0.149	-0.957	-0.627	-0.368
beta0_pH[14,1]	0.006	0.172	-0.351	0.012	0.328
beta0_pH[15,1]	0.028	0.205	-0.442	0.049	0.371
beta0_pH[16,1]	-0.860	0.223	-1.333	-0.846	-0.456
beta0_pH[1,2]	2.566	0.086	2.405	2.564	2.739
beta0_pH[2,2]	3.078	0.022	3.037	3.078	3.122
beta0_pH[3,2]	3.627	0.041	3.547	3.626	3.708
beta0_pH[4,2]	2.936	0.019	2.899	2.936	2.973
beta0_pH[5,2]	4.525	1.429	2.716	4.259	8.039
beta0_pH[6,2]	3.330	0.158	3.025	3.323	3.654
beta0_pH[7,2]	2.025	0.049	1.932	2.025	2.125
beta0_pH[8,2]	2.822	0.066	2.695	2.820	2.951
beta0_pH[9,2]	3.963	0.206	3.581	3.959	4.383
beta0_pH[10,2]	4.001	0.129	3.756	3.998	4.259
beta0_pH[11,2]	1.888	0.009	1.871	1.888	1.906
beta0_pH[12,2]	1.799	0.069	1.671	1.799	1.939
beta0_pH[13,2]	2.497	0.026	2.446	2.496	2.550
beta0_pH[14,2]	1.806	0.024	1.759	1.806	1.853
beta0_pH[15,2]	2.550	0.017	2.516	2.550	2.584
beta0_pH[16,2]	2.776	0.025	2.728	2.776	2.825
beta0_pH[1,3]	0.676	0.591	-0.897	0.830	1.373
beta0_pH[2,3]	2.126	0.018	2.092	2.127	2.160
beta0_pH[3,3]	2.689	0.024	2.641	2.689	2.735
beta0_pH[4,3]	2.981	0.035	2.916	2.980	3.049
beta0_pH[5,3]	3.828	2.670	0.988	3.100	11.191
beta0_pH[6,3]	1.253	0.326	0.683	1.229	1.955
beta0_pH[7,3]	0.855	0.050	0.758	0.854	0.954
beta0_pH[8,3]	0.284	0.119	0.032	0.290	0.502
beta0_pH[9,3]	-2.938	1.089	-5.351	-2.829	-1.128
beta0_pH[10,3]	-0.934	0.919	-3.060	-0.806	0.498
beta0_pH[11,3]	0.023	11.675	-22.811	-0.056	23.189
beta0_pH[12,3]	-0.087	11.430	-22.179	-0.150	23.085
beta0_pH[13,3]	-0.044	11.444	-22.470	-0.043	22.852
beta0_pH[14,3]	0.095	11.594	-22.006	0.143	24.247
beta0_pH[15,3]	-0.124	11.337	-22.679	-0.067	21.754
beta0_pH[16,3]	-0.238	11.533	-22.876	-0.307	22.403
beta0_pH[11,4]	0.997	0.731	-0.856	1.087	2.166
beta0_pH[12,4]	0.894	0.867	-1.218	0.957	2.383
beta0_pH[13,4]	0.769	0.706	-0.934	0.849	1.966
beta0_pH[14,4]	0.345	0.578	-0.957	0.406	1.305
beta0_pH[15,4]	0.706	0.588	-0.583	0.720	1.840
beta0_pH[16,4]	1.010	0.761	-0.695	1.043	2.384
beta0_pH[11,5]	1.670	0.085	1.523	1.665	1.855
beta0_pH[12,5]	-1.409	0.441	-2.377	-1.393	-0.579
beta0_pH[13,5]	2.238	0.255	1.813	2.213	2.809
beta0_pH[14,5]	1.888	0.301	1.386	1.859	2.564
beta0_pH[15,5]	1.111	0.066	0.996	1.106	1.254
beta0_pH[16,5]	-0.736	0.055	-0.841	-0.737	-0.631
beta1_pH[1,1]	2.456	0.463	1.755	2.384	3.640
beta1_pH[2,1]	1.592	0.340	1.029	1.567	2.239
beta1_pH[3,1]	1.832	0.491	1.098	1.752	3.167
beta1_pH[4,1]	1.956	0.473	1.238	1.892	3.212
beta1_pH[5,1]	2.334	0.493	1.539	2.286	3.521
beta1_pH[6,1]	2.282	0.870	1.127	2.061	4.433
beta1_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,1]	2.566	0.890	1.285	2.388	4.482
beta1_pH[9,1]	2.173	0.720	1.184	1.994	4.165
beta1_pH[10,1]	2.185	0.392	1.501	2.143	3.015
beta1_pH[11,1]	3.363	0.522	2.619	3.275	4.768
beta1_pH[12,1]	2.888	0.274	2.355	2.883	3.431
beta1_pH[13,1]	3.436	0.250	2.995	3.418	3.979
beta1_pH[14,1]	2.862	0.322	2.268	2.850	3.537
beta1_pH[15,1]	2.444	0.297	1.923	2.419	3.126
beta1_pH[16,1]	4.020	0.311	3.449	4.011	4.674
beta1_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[1,3]	3.458	1.648	1.258	3.019	7.273
beta1_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,3]	4.981	2.399	2.245	4.151	11.439
beta1_pH[9,3]	8.624	2.641	4.406	8.271	14.150
beta1_pH[10,3]	7.315	2.729	3.193	6.767	13.304
beta1_pH[11,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[11,4]	2.175	0.763	0.781	2.129	3.971
beta1_pH[12,4]	3.280	0.877	1.801	3.200	5.470
beta1_pH[13,4]	1.694	0.748	0.315	1.647	3.427
beta1_pH[14,4]	2.304	0.663	1.126	2.261	3.717
beta1_pH[15,4]	1.746	0.661	0.411	1.744	3.124
beta1_pH[16,4]	3.845	0.816	2.323	3.815	5.655
beta1_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,1]	1.328	0.858	0.341	1.027	3.386
beta2_pH[2,1]	1.607	0.930	0.328	1.385	3.413
beta2_pH[3,1]	1.315	0.847	0.183	1.135	2.934
beta2_pH[4,1]	1.090	0.781	0.204	0.828	2.905
beta2_pH[5,1]	2.147	1.798	0.283	1.671	7.480
beta2_pH[6,1]	0.967	1.586	0.112	0.365	5.971
beta2_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,1]	0.671	1.076	0.124	0.315	4.201
beta2_pH[9,1]	1.110	1.790	0.138	0.477	7.840
beta2_pH[10,1]	1.247	1.344	0.284	0.777	5.449
beta2_pH[11,1]	0.415	0.200	0.181	0.367	0.912
beta2_pH[12,1]	1.581	0.806	0.619	1.341	3.687
beta2_pH[13,1]	1.022	0.437	0.528	0.911	2.198
beta2_pH[14,1]	1.109	0.629	0.427	0.918	3.010
beta2_pH[15,1]	0.995	0.588	0.342	0.846	2.710
beta2_pH[16,1]	1.063	0.331	0.642	0.997	1.870
beta2_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,3]	2.360	4.227	0.113	0.486	15.542
beta2_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,3]	2.443	2.055	0.577	1.515	8.193
beta2_pH[9,3]	0.175	0.092	0.080	0.154	0.382
beta2_pH[10,3]	0.289	0.301	0.097	0.225	0.795
beta2_pH[11,3]	-8.434	5.944	-22.569	-7.129	-0.422
beta2_pH[12,3]	-8.380	5.906	-22.349	-7.139	-0.446
beta2_pH[13,3]	-8.436	5.836	-21.981	-7.246	-0.480
beta2_pH[14,3]	-8.475	5.877	-22.323	-7.376	-0.373
beta2_pH[15,3]	-8.441	5.851	-22.078	-7.309	-0.494
beta2_pH[16,3]	-8.419	5.913	-22.757	-7.364	-0.380
beta2_pH[11,4]	-5.406	4.406	-16.679	-3.993	-0.665
beta2_pH[12,4]	-5.890	4.355	-17.304	-4.674	-0.994
beta2_pH[13,4]	-5.444	4.323	-16.591	-4.051	-0.816
beta2_pH[14,4]	-5.582	4.345	-17.003	-4.123	-0.974
beta2_pH[15,4]	-5.767	4.372	-16.778	-4.440	-0.874
beta2_pH[16,4]	-5.544	4.072	-16.833	-4.193	-1.294
beta2_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta3_pH[1,1]	34.832	1.098	32.764	34.831	37.093
beta3_pH[2,1]	32.856	1.450	30.246	32.771	36.226
beta3_pH[3,1]	33.030	1.589	30.054	32.937	36.745
beta3_pH[4,1]	32.508	1.906	29.134	32.423	36.825
beta3_pH[5,1]	27.570	1.106	25.983	27.458	30.446
beta3_pH[6,1]	33.508	3.588	26.375	33.235	41.653
beta3_pH[7,1]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,1]	35.638	3.745	28.999	35.906	42.331
beta3_pH[9,1]	32.694	3.170	27.905	32.015	40.740
beta3_pH[10,1]	32.629	1.318	30.305	32.562	35.340
beta3_pH[11,1]	31.200	1.133	29.190	31.136	33.483
beta3_pH[12,1]	30.788	0.472	29.842	30.799	31.703
beta3_pH[13,1]	31.438	0.573	30.312	31.425	32.599
beta3_pH[14,1]	32.513	0.721	31.297	32.474	34.003
beta3_pH[15,1]	30.917	0.752	29.380	30.929	32.398
beta3_pH[16,1]	30.131	0.360	29.430	30.129	30.814
beta3_pH[1,2]	34.421	5.493	25.433	34.259	43.493
beta3_pH[2,2]	34.402	5.505	25.472	34.369	43.532
beta3_pH[3,2]	30.370	7.111	18.516	30.451	42.244
beta3_pH[4,2]	30.812	7.262	18.783	31.056	42.345
beta3_pH[5,2]	30.386	7.180	18.654	30.186	42.449
beta3_pH[6,2]	30.467	7.222	18.757	30.435	42.447
beta3_pH[7,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[9,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[10,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[11,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[12,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[13,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[14,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[15,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[16,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[1,3]	39.724	2.671	33.071	40.178	43.692
beta3_pH[2,3]	34.638	5.420	25.560	34.705	43.422
beta3_pH[3,3]	30.579	7.192	18.705	30.608	42.424
beta3_pH[4,3]	30.522	7.285	18.628	30.425	42.437
beta3_pH[5,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[6,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[7,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,3]	42.171	0.826	41.024	41.904	43.878
beta3_pH[9,3]	36.023	1.776	34.524	35.349	41.394
beta3_pH[10,3]	37.805	2.509	34.623	37.195	43.381
beta3_pH[11,3]	38.463	2.597	34.272	38.385	42.785
beta3_pH[12,3]	38.531	2.580	34.250	38.574	42.761
beta3_pH[13,3]	38.466	2.590	34.192	38.483	42.738
beta3_pH[14,3]	38.508	2.584	34.227	38.510	42.776
beta3_pH[15,3]	38.507	2.608	34.222	38.425	42.824
beta3_pH[16,3]	38.487	2.596	34.217	38.536	42.735
beta3_pH[11,4]	40.738	1.213	38.480	40.629	43.229
beta3_pH[12,4]	41.853	0.817	40.240	42.136	42.935
beta3_pH[13,4]	41.429	1.129	39.184	41.391	43.589
beta3_pH[14,4]	40.360	0.743	38.875	40.360	41.765
beta3_pH[15,4]	40.941	0.990	38.556	40.945	42.917
beta3_pH[16,4]	41.735	0.434	40.908	41.787	42.592
beta3_pH[11,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[12,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[13,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[14,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[15,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[16,5]	25.000	0.000	25.000	25.000	25.000
beta4_pH[1,1]	0.263	0.021	0.222	0.263	0.303
beta4_pH[2,1]	0.211	0.005	0.200	0.211	0.221
beta4_pH[3,1]	0.173	0.007	0.159	0.172	0.187
beta4_pH[4,1]	0.293	0.011	0.271	0.294	0.316
beta4_pH[5,1]	0.417	0.262	0.096	0.375	0.938
beta4_pH[6,1]	0.774	0.327	0.319	0.737	1.474
beta4_pH[7,1]	0.866	0.351	0.366	0.812	1.705
beta4_pH[8,1]	0.155	0.068	0.045	0.150	0.301
beta4_pH[9,1]	0.217	0.087	0.062	0.213	0.397
beta4_pH[10,1]	0.001	0.001	0.000	0.001	0.003
beta4_pH[11,1]	0.446	0.012	0.423	0.446	0.468
beta4_pH[12,1]	0.643	0.022	0.600	0.642	0.686
beta4_pH[13,1]	0.631	0.013	0.605	0.631	0.658
beta4_pH[14,1]	0.667	0.030	0.609	0.667	0.729
beta4_pH[15,1]	0.795	0.021	0.755	0.795	0.837
beta4_pH[16,1]	1.215	0.042	1.134	1.215	1.298
beta4_pH[1,2]	0.296	0.097	0.126	0.291	0.504
beta4_pH[2,2]	0.515	0.022	0.473	0.514	0.559
beta4_pH[3,2]	0.446	0.012	0.422	0.446	0.469
beta4_pH[4,2]	0.655	0.037	0.584	0.654	0.729
beta4_pH[5,2]	0.716	0.730	0.104	0.533	2.553
beta4_pH[6,2]	0.922	0.840	0.212	0.750	2.645
beta4_pH[7,2]	0.904	0.477	0.353	0.819	1.939
beta4_pH[8,2]	0.847	0.205	0.486	0.835	1.309
beta4_pH[9,2]	1.144	1.002	0.309	0.879	3.640
beta4_pH[10,2]	0.456	0.051	0.360	0.455	0.562
beta4_pH[11,2]	1.269	0.050	1.172	1.269	1.368
beta4_pH[12,2]	0.608	0.110	0.406	0.603	0.835
beta4_pH[13,2]	0.949	0.044	0.869	0.948	1.038
beta4_pH[14,2]	0.932	0.063	0.812	0.933	1.054
beta4_pH[15,2]	1.009	0.026	0.960	1.010	1.059
beta4_pH[16,2]	1.390	0.074	1.250	1.388	1.540
beta4_pH[1,3]	0.241	0.077	0.104	0.236	0.404
beta4_pH[2,3]	0.050	0.017	0.020	0.048	0.084
beta4_pH[3,3]	0.052	0.010	0.034	0.052	0.071
beta4_pH[4,3]	0.166	0.031	0.108	0.166	0.227
beta4_pH[5,3]	0.760	0.931	0.111	0.553	2.626
beta4_pH[6,3]	0.890	0.765	0.205	0.740	2.525
beta4_pH[7,3]	0.889	0.422	0.336	0.817	1.865
beta4_pH[8,3]	0.389	0.183	0.102	0.365	0.813
beta4_pH[9,3]	0.914	0.766	0.173	0.709	2.713
beta4_pH[10,3]	0.054	0.038	0.003	0.046	0.140
beta4_pH[11,3]	0.615	0.259	0.267	0.570	1.204
beta4_pH[12,3]	0.705	0.228	0.383	0.671	1.242
beta4_pH[13,3]	0.713	0.197	0.406	0.687	1.163
beta4_pH[14,3]	0.860	0.222	0.508	0.834	1.383
beta4_pH[15,3]	0.826	0.252	0.444	0.786	1.427
beta4_pH[16,3]	0.824	0.377	0.320	0.749	1.758
beta4_pH[1,4]	0.636	0.377	0.196	0.553	1.551
beta4_pH[2,4]	0.833	1.022	0.119	0.580	3.035
beta4_pH[3,4]	0.831	0.824	0.113	0.605	2.870
beta4_pH[4,4]	0.734	0.476	0.202	0.621	1.948
beta4_pH[5,4]	0.750	0.766	0.107	0.555	2.556
beta4_pH[6,4]	0.924	0.874	0.214	0.743	2.863
beta4_pH[7,4]	0.892	0.440	0.377	0.808	1.917
beta4_pH[8,4]	0.762	0.678	0.145	0.603	2.303
beta4_pH[9,4]	0.778	0.852	0.127	0.590	2.656
beta4_pH[10,4]	1.457	2.986	0.006	0.368	11.011
beta4_pH[11,4]	0.396	0.016	0.366	0.396	0.427
beta4_pH[12,4]	0.551	0.053	0.450	0.551	0.659
beta4_pH[13,4]	0.834	0.040	0.758	0.834	0.915
beta4_pH[14,4]	0.864	0.072	0.724	0.861	1.006
beta4_pH[15,4]	0.626	0.018	0.593	0.626	0.661
beta4_pH[16,4]	0.651	0.039	0.577	0.649	0.731
beta4_pH[1,5]	0.634	0.369	0.197	0.556	1.543
beta4_pH[2,5]	0.834	0.911	0.102	0.596	3.146
beta4_pH[3,5]	0.860	0.910	0.115	0.598	3.181
beta4_pH[4,5]	0.736	0.497	0.219	0.618	1.984
beta4_pH[5,5]	0.765	0.979	0.107	0.551	2.693
beta4_pH[6,5]	0.925	0.853	0.216	0.731	2.767
beta4_pH[7,5]	0.892	0.418	0.345	0.817	1.919
beta4_pH[8,5]	0.736	0.606	0.149	0.591	2.345
beta4_pH[9,5]	0.777	0.923	0.122	0.561	2.728
beta4_pH[10,5]	1.504	3.134	0.007	0.375	12.287
beta4_pH[11,5]	0.362	0.077	0.215	0.361	0.514
beta4_pH[12,5]	0.693	0.204	0.374	0.663	1.177
beta4_pH[13,5]	0.973	0.112	0.779	0.965	1.216
beta4_pH[14,5]	0.845	0.158	0.570	0.836	1.187
beta4_pH[15,5]	1.304	0.116	1.087	1.301	1.545
beta4_pH[16,5]	0.916	0.376	0.354	0.863	1.843
beta0_pelagic[1]	2.268	0.036	2.202	2.266	2.342
beta0_pelagic[2]	1.537	0.007	1.524	1.537	1.551
beta0_pelagic[3]	0.153	0.285	-0.615	0.214	0.548
beta0_pelagic[4]	0.219	0.230	-0.326	0.238	0.636
beta0_pelagic[5]	1.442	0.157	1.144	1.441	1.749
beta0_pelagic[6]	1.357	0.061	1.239	1.356	1.482
beta0_pelagic[7]	1.470	0.039	1.398	1.469	1.549
beta0_pelagic[8]	1.672	0.044	1.591	1.670	1.763
beta0_pelagic[9]	2.777	0.063	2.662	2.774	2.906
beta0_pelagic[10]	2.604	0.032	2.543	2.603	2.669
beta0_pelagic[11]	-0.132	0.154	-0.462	-0.116	0.137
beta0_pelagic[12]	1.800	0.035	1.733	1.798	1.874
beta0_pelagic[13]	-1.282	0.678	-2.553	-1.266	-0.140
beta0_pelagic[14]	-0.250	0.151	-0.589	-0.238	0.007
beta0_pelagic[15]	-0.210	0.035	-0.304	-0.196	-0.179
beta0_pelagic[16]	-0.496	0.357	-1.333	-0.420	0.028
beta1_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[3]	0.814	0.314	0.345	0.755	1.655
beta1_pelagic[4]	0.830	0.251	0.388	0.815	1.394
beta1_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[11]	1.150	0.245	0.732	1.132	1.691
beta1_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[13]	3.326	0.919	1.563	3.363	4.857
beta1_pelagic[14]	1.672	0.375	1.132	1.604	2.634
beta1_pelagic[15]	0.096	0.155	0.000	0.016	0.571
beta1_pelagic[16]	1.650	0.548	0.839	1.604	2.870
beta2_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[3]	5.948	5.999	0.168	4.066	20.698
beta2_pelagic[4]	7.412	5.979	0.311	6.269	22.345
beta2_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[11]	1.803	1.506	0.264	1.306	5.945
beta2_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[13]	0.159	0.078	0.075	0.139	0.376
beta2_pelagic[14]	1.016	0.976	0.243	0.699	4.041
beta2_pelagic[15]	2.980	2.226	0.161	2.445	8.352
beta2_pelagic[16]	0.637	0.846	0.121	0.324	3.480
beta3_pelagic[1]	28.644	3.885	22.358	28.450	35.140
beta3_pelagic[2]	28.793	3.923	22.392	28.798	35.154
beta3_pelagic[3]	27.901	2.912	22.927	28.343	33.138
beta3_pelagic[4]	26.102	1.530	22.934	26.274	29.436
beta3_pelagic[5]	29.289	6.659	18.552	29.173	40.337
beta3_pelagic[6]	29.619	6.576	18.638	29.764	40.508
beta3_pelagic[7]	29.422	6.692	18.539	29.385	40.426
beta3_pelagic[8]	29.458	6.672	18.602	29.307	40.387
beta3_pelagic[9]	29.541	6.722	18.436	29.497	40.475
beta3_pelagic[10]	29.523	6.768	18.546	29.433	40.460
beta3_pelagic[11]	30.208	1.125	28.207	30.121	32.723
beta3_pelagic[12]	30.000	0.000	30.000	30.000	30.000
beta3_pelagic[13]	31.044	4.891	23.503	30.544	40.660
beta3_pelagic[14]	33.971	1.490	31.549	33.850	37.501
beta3_pelagic[15]	34.369	5.695	23.717	35.284	41.741
beta3_pelagic[16]	31.290	2.626	26.310	31.176	36.774
beta0_yellow[1]	-0.484	0.079	-0.639	-0.483	-0.328
beta0_yellow[2]	0.537	0.087	0.335	0.547	0.674
beta0_yellow[3]	-0.218	0.126	-0.466	-0.219	0.010
beta0_yellow[4]	0.872	0.260	0.164	0.935	1.185
beta0_yellow[5]	0.235	0.324	-0.443	0.248	0.813
beta0_yellow[6]	0.819	0.106	0.615	0.817	1.036
beta0_yellow[7]	1.017	0.103	0.823	1.013	1.221
beta0_yellow[8]	1.016	0.094	0.832	1.018	1.195
beta0_yellow[9]	0.442	0.101	0.249	0.443	0.641
beta0_yellow[10]	0.538	0.070	0.405	0.538	0.674
beta0_yellow[11]	-0.209	0.130	-0.507	-0.196	-0.002
beta0_yellow[12]	-1.087	0.094	-1.267	-1.087	-0.905
beta0_yellow[13]	-1.338	0.169	-1.721	-1.325	-1.056
beta0_yellow[14]	-0.249	0.153	-0.574	-0.235	-0.003
beta0_yellow[15]	-1.245	0.133	-1.564	-1.231	-1.028
beta0_yellow[16]	-0.258	0.093	-0.442	-0.259	-0.077
beta1_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[2]	1.021	0.241	0.571	1.011	1.526
beta1_yellow[3]	0.480	0.236	0.026	0.490	0.923
beta1_yellow[4]	1.360	0.630	0.642	1.190	3.259
beta1_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[11]	0.272	0.346	0.001	0.092	1.147
beta1_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[13]	2.112	1.732	0.060	1.324	6.037
beta1_yellow[14]	0.694	0.916	0.013	0.433	3.513
beta1_yellow[15]	0.163	0.214	0.011	0.075	0.737
beta1_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[2]	-7.655	5.874	-22.044	-6.391	-0.367
beta2_yellow[3]	-7.707	5.872	-21.543	-6.468	-0.491
beta2_yellow[4]	-5.353	5.778	-19.777	-3.195	-0.107
beta2_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[11]	-7.690	5.820	-22.276	-6.528	-0.308
beta2_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[13]	-4.831	4.687	-16.709	-3.201	-0.318
beta2_yellow[14]	-6.235	5.092	-19.024	-4.935	-0.354
beta2_yellow[15]	-7.665	5.592	-21.038	-6.500	-0.333
beta2_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta3_yellow[1]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[2]	28.927	1.195	27.300	28.678	32.111
beta3_yellow[3]	32.513	3.068	24.106	32.630	38.415
beta3_yellow[4]	30.050	3.315	23.932	29.061	35.670
beta3_yellow[5]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[6]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[7]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[8]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[9]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[10]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[11]	35.377	3.866	30.378	34.294	43.546
beta3_yellow[12]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[13]	32.096	2.679	29.079	31.584	37.793
beta3_yellow[14]	33.855	3.536	29.211	33.392	42.854
beta3_yellow[15]	36.576	3.796	30.368	36.408	43.577
beta3_yellow[16]	35.000	0.000	35.000	35.000	35.000
beta0_black[1]	0.014	0.077	-0.134	0.015	0.167
beta0_black[2]	1.855	0.032	1.793	1.854	1.918
beta0_black[3]	1.240	0.037	1.168	1.239	1.313
beta0_black[4]	2.426	0.047	2.337	2.426	2.520
beta0_black[5]	5.132	2.361	1.887	4.685	11.030
beta0_black[6]	5.267	2.214	2.607	4.659	11.180
beta0_black[7]	4.119	2.049	1.639	3.601	9.689
beta0_black[8]	0.885	0.217	0.476	0.874	1.356
beta0_black[9]	2.813	0.272	2.301	2.804	3.366
beta0_black[10]	1.287	0.051	1.189	1.287	1.385
beta0_black[11]	2.978	0.051	2.879	2.978	3.079
beta0_black[12]	4.920	0.191	4.549	4.916	5.289
beta0_black[13]	0.417	0.322	0.017	0.340	1.220
beta0_black[14]	2.850	0.111	2.628	2.850	3.070
beta0_black[15]	0.722	0.051	0.619	0.723	0.820
beta0_black[16]	3.773	0.073	3.629	3.773	3.913
beta2_black[1]	0.000	0.000	0.000	0.000	0.000
beta2_black[2]	0.000	0.000	0.000	0.000	0.000
beta2_black[3]	0.000	0.000	0.000	0.000	0.000
beta2_black[4]	0.000	0.000	0.000	0.000	0.000
beta2_black[5]	0.000	0.000	0.000	0.000	0.000
beta2_black[6]	0.000	0.000	0.000	0.000	0.000
beta2_black[7]	0.000	0.000	0.000	0.000	0.000
beta2_black[8]	0.000	0.000	0.000	0.000	0.000
beta2_black[9]	0.000	0.000	0.000	0.000	0.000
beta2_black[10]	0.000	0.000	0.000	0.000	0.000
beta2_black[11]	0.000	0.000	0.000	0.000	0.000
beta2_black[12]	0.000	0.000	0.000	0.000	0.000
beta2_black[13]	-2.590	1.769	-6.882	-2.242	-0.325
beta2_black[14]	0.000	0.000	0.000	0.000	0.000
beta2_black[15]	0.000	0.000	0.000	0.000	0.000
beta2_black[16]	0.000	0.000	0.000	0.000	0.000
beta3_black[1]	25.000	0.000	25.000	25.000	25.000
beta3_black[2]	25.000	0.000	25.000	25.000	25.000
beta3_black[3]	25.000	0.000	25.000	25.000	25.000
beta3_black[4]	25.000	0.000	25.000	25.000	25.000
beta3_black[5]	25.000	0.000	25.000	25.000	25.000
beta3_black[6]	25.000	0.000	25.000	25.000	25.000
beta3_black[7]	25.000	0.000	25.000	25.000	25.000
beta3_black[8]	25.000	0.000	25.000	25.000	25.000
beta3_black[9]	25.000	0.000	25.000	25.000	25.000
beta3_black[10]	25.000	0.000	25.000	25.000	25.000
beta3_black[11]	25.000	0.000	25.000	25.000	25.000
beta3_black[12]	25.000	0.000	25.000	25.000	25.000
beta3_black[13]	37.453	3.339	26.008	38.184	40.950
beta3_black[14]	25.000	0.000	25.000	25.000	25.000
beta3_black[15]	25.000	0.000	25.000	25.000	25.000
beta3_black[16]	25.000	0.000	25.000	25.000	25.000
beta4_black[1]	-0.329	0.092	-0.509	-0.329	-0.145
beta4_black[2]	0.260	0.053	0.156	0.260	0.364
beta4_black[3]	-0.722	0.064	-0.844	-0.721	-0.595
beta4_black[4]	0.630	0.131	0.386	0.629	0.889
beta4_black[5]	0.770	1.483	-1.242	0.499	4.445
beta4_black[6]	0.887	1.606	-0.794	0.559	4.230
beta4_black[7]	0.768	1.412	-0.921	0.485	4.315
beta4_black[8]	0.080	0.290	-0.515	0.083	0.627
beta4_black[9]	1.022	0.797	-0.121	0.883	2.994
beta4_black[10]	0.073	0.067	-0.053	0.073	0.205
beta4_black[11]	-0.607	0.065	-0.734	-0.605	-0.484
beta4_black[12]	1.232	0.290	0.694	1.219	1.834
beta4_black[13]	-1.004	0.077	-1.163	-1.001	-0.862
beta4_black[14]	0.229	0.180	-0.112	0.227	0.593
beta4_black[15]	0.003	0.046	-0.085	0.002	0.095
beta4_black[16]	-0.416	0.117	-0.639	-0.421	-0.181
beta0_dsr[11]	-0.337	0.009	-0.356	-0.337	-0.319
beta0_dsr[12]	1.421	0.044	1.336	1.421	1.508
beta0_dsr[13]	0.130	0.021	0.088	0.131	0.173
beta0_dsr[14]	-0.135	0.018	-0.168	-0.135	-0.100
beta0_dsr[15]	0.184	0.014	0.157	0.184	0.212
beta0_dsr[16]	0.208	0.015	0.178	0.208	0.238
beta1_dsr[11]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[12]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[13]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[14]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[15]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[16]	0.000	0.000	0.000	0.000	0.000
beta4_dsr[11]	0.549	0.035	0.482	0.548	0.620
beta4_dsr[12]	0.818	0.239	0.354	0.811	1.285
beta4_dsr[13]	-0.046	0.041	-0.126	-0.047	0.032
beta4_dsr[14]	-0.206	0.071	-0.345	-0.206	-0.068
beta4_dsr[15]	0.237	0.022	0.194	0.237	0.280
beta4_dsr[16]	-0.100	0.046	-0.190	-0.100	-0.011
beta0_slope[11]	-2.200	0.021	-2.243	-2.201	-2.158
beta0_slope[12]	-5.429	0.225	-5.873	-5.428	-4.985
beta0_slope[13]	-1.456	0.034	-1.526	-1.456	-1.390
beta0_slope[14]	-2.693	0.051	-2.797	-2.691	-2.599
beta0_slope[15]	-1.566	0.022	-1.610	-1.567	-1.524
beta0_slope[16]	-3.013	0.047	-3.106	-3.012	-2.924
beta1_slope[11]	0.000	0.000	0.000	0.000	0.000
beta1_slope[12]	0.000	0.000	0.000	0.000	0.000
beta1_slope[13]	0.000	0.000	0.000	0.000	0.000
beta1_slope[14]	0.000	0.000	0.000	0.000	0.000
beta1_slope[15]	0.000	0.000	0.000	0.000	0.000
beta1_slope[16]	0.000	0.000	0.000	0.000	0.000
beta4_slope[11]	-0.342	0.077	-0.497	-0.339	-0.194
beta4_slope[12]	-4.673	0.812	-6.413	-4.621	-3.182
beta4_slope[13]	0.281	0.054	0.172	0.282	0.384
beta4_slope[14]	-0.182	0.155	-0.495	-0.178	0.120
beta4_slope[15]	-0.387	0.034	-0.454	-0.387	-0.319
beta4_slope[16]	0.218	0.104	0.008	0.219	0.410
beta5_slope[11]	3.081	0.108	2.869	3.077	3.294
beta5_slope[12]	2.006	0.389	1.278	1.995	2.788
beta5_slope[13]	0.934	0.081	0.776	0.934	1.093
beta5_slope[14]	3.800	0.362	3.140	3.778	4.565
beta5_slope[15]	1.388	0.071	1.253	1.388	1.528
beta5_slope[16]	2.679	0.234	2.245	2.671	3.172
tau_comp[1]	3.784	0.294	3.245	3.773	4.392
tau_comp[2]	2.854	0.257	2.381	2.842	3.394
tau_comp[3]	0.867	0.073	0.730	0.864	1.018
tau_comp[4]	1.279	0.195	0.941	1.268	1.698
tau_comp[5]	1.201	0.180	0.889	1.190	1.589
sigma_H[1]	0.205	0.049	0.118	0.202	0.311
sigma_H[2]	0.175	0.028	0.127	0.173	0.236
sigma_H[3]	0.187	0.041	0.114	0.184	0.273
sigma_H[4]	0.464	0.081	0.334	0.457	0.645
sigma_H[5]	0.964	0.202	0.604	0.954	1.394
sigma_H[6]	0.535	0.192	0.162	0.527	0.923
sigma_H[7]	0.310	0.062	0.212	0.300	0.456
sigma_H[8]	0.416	0.089	0.265	0.408	0.604
sigma_H[9]	0.512	0.117	0.335	0.498	0.777
sigma_H[10]	0.208	0.039	0.142	0.205	0.290
sigma_H[11]	0.267	0.044	0.194	0.262	0.366
sigma_H[12]	0.388	0.152	0.200	0.342	0.740
sigma_H[13]	0.218	0.036	0.157	0.215	0.298
sigma_H[14]	0.499	0.090	0.340	0.493	0.685
sigma_H[15]	0.235	0.038	0.170	0.233	0.316
sigma_H[16]	0.211	0.040	0.144	0.206	0.301
lambda_H[1]	2.173	3.667	0.082	0.994	11.315
lambda_H[2]	5.309	4.967	0.439	3.816	19.506
lambda_H[3]	5.173	7.245	0.254	2.795	23.527
lambda_H[4]	0.006	0.004	0.001	0.005	0.018
lambda_H[5]	2.835	7.293	0.027	0.692	20.859
lambda_H[6]	6.338	14.399	0.008	0.296	47.364
lambda_H[7]	0.012	0.009	0.002	0.010	0.034
lambda_H[8]	7.908	10.000	0.102	4.319	37.939
lambda_H[9]	0.015	0.010	0.003	0.013	0.042
lambda_H[10]	0.222	0.340	0.027	0.149	0.784
lambda_H[11]	0.235	0.377	0.011	0.109	1.144
lambda_H[12]	3.664	4.938	0.175	2.134	16.835
lambda_H[13]	3.077	2.782	0.274	2.321	10.513
lambda_H[14]	3.334	3.975	0.200	2.155	13.788
lambda_H[15]	0.019	0.022	0.003	0.014	0.061
lambda_H[16]	0.507	0.805	0.035	0.260	2.628
mu_lambda_H[1]	4.090	1.890	1.061	3.893	8.232
mu_lambda_H[2]	3.698	1.954	0.518	3.516	7.816
mu_lambda_H[3]	3.354	1.834	0.690	3.062	7.521
sigma_lambda_H[1]	8.184	4.347	1.684	7.513	17.831
sigma_lambda_H[2]	8.132	4.699	0.851	7.543	18.165
sigma_lambda_H[3]	6.199	4.067	0.941	5.354	16.294
beta_H[1,1]	6.459	1.345	3.206	6.673	8.437
beta_H[2,1]	9.763	0.602	8.394	9.802	10.824
beta_H[3,1]	7.827	0.801	5.940	7.928	9.125
beta_H[4,1]	10.629	7.814	-4.911	10.668	25.512
beta_H[5,1]	-0.326	2.491	-5.531	-0.194	3.956
beta_H[6,1]	3.184	4.310	-7.329	4.596	8.379
beta_H[7,1]	1.335	5.648	-10.704	1.721	11.530
beta_H[8,1]	1.333	3.522	-2.380	1.251	3.571
beta_H[9,1]	13.330	5.731	2.377	13.142	25.120
beta_H[10,1]	6.837	1.813	3.005	6.896	10.338
beta_H[11,1]	4.888	3.533	-3.075	5.546	9.903
beta_H[12,1]	2.583	1.109	0.690	2.507	4.979
beta_H[13,1]	9.091	0.884	7.262	9.164	10.552
beta_H[14,1]	2.129	1.033	0.155	2.120	4.267
beta_H[15,1]	-7.014	3.468	-13.613	-7.103	0.402
beta_H[16,1]	3.934	3.025	-0.844	3.550	10.785
beta_H[1,2]	7.781	0.273	7.201	7.786	8.295
beta_H[2,2]	9.884	0.167	9.560	9.881	10.230
beta_H[3,2]	8.799	0.202	8.406	8.795	9.205
beta_H[4,2]	3.007	1.468	0.321	2.988	6.195
beta_H[5,2]	1.775	0.994	-0.178	1.787	3.729
beta_H[6,2]	6.052	1.106	3.415	6.225	7.801
beta_H[7,2]	2.376	1.059	0.396	2.309	4.652
beta_H[8,2]	3.009	1.083	1.254	3.150	4.257
beta_H[9,2]	3.222	1.102	0.942	3.217	5.459
beta_H[10,2]	8.035	0.362	7.294	8.047	8.706
beta_H[11,2]	9.820	0.639	8.860	9.725	11.252
beta_H[12,2]	3.934	0.380	3.227	3.922	4.747
beta_H[13,2]	9.152	0.243	8.692	9.142	9.662
beta_H[14,2]	4.030	0.344	3.352	4.023	4.708
beta_H[15,2]	11.532	0.623	10.219	11.543	12.738
beta_H[16,2]	4.467	0.818	2.990	4.437	6.133
beta_H[1,3]	8.456	0.263	7.976	8.442	8.993
beta_H[2,3]	9.855	0.153	9.555	9.853	10.164
beta_H[3,3]	9.464	0.160	9.171	9.458	9.793
beta_H[4,3]	-2.185	0.876	-3.959	-2.178	-0.462
beta_H[5,3]	3.895	0.612	2.681	3.909	5.090
beta_H[6,3]	8.408	1.185	6.776	8.088	10.884
beta_H[7,3]	-2.557	0.633	-3.858	-2.550	-1.342
beta_H[8,3]	5.300	0.513	4.684	5.228	6.449
beta_H[9,3]	-2.733	0.707	-4.158	-2.729	-1.358
beta_H[10,3]	8.545	0.275	8.017	8.537	9.113
beta_H[11,3]	8.494	0.292	7.863	8.513	8.994
beta_H[12,3]	5.264	0.325	4.513	5.311	5.792
beta_H[13,3]	8.862	0.175	8.504	8.867	9.195
beta_H[14,3]	5.785	0.268	5.196	5.802	6.265
beta_H[15,3]	10.282	0.295	9.708	10.286	10.859
beta_H[16,3]	5.946	0.594	4.704	5.976	7.012
beta_H[1,4]	8.093	0.186	7.689	8.107	8.416
beta_H[2,4]	9.852	0.127	9.588	9.856	10.089
beta_H[3,4]	9.954	0.153	9.613	9.964	10.222
beta_H[4,4]	11.808	0.468	10.886	11.810	12.723
beta_H[5,4]	5.559	0.735	4.374	5.480	7.182
beta_H[6,4]	7.219	0.923	5.297	7.452	8.491
beta_H[7,4]	8.545	0.347	7.878	8.542	9.223
beta_H[8,4]	6.726	0.261	6.182	6.742	7.138
beta_H[9,4]	7.426	0.447	6.564	7.419	8.316
beta_H[10,4]	7.519	0.219	7.099	7.513	7.960
beta_H[11,4]	9.504	0.194	9.119	9.505	9.887
beta_H[12,4]	7.249	0.205	6.842	7.247	7.679
beta_H[13,4]	9.062	0.139	8.787	9.063	9.327
beta_H[14,4]	7.832	0.215	7.420	7.826	8.283
beta_H[15,4]	9.462	0.220	9.031	9.462	9.881
beta_H[16,4]	9.434	0.236	9.013	9.420	9.912
beta_H[1,5]	8.900	0.153	8.596	8.902	9.187
beta_H[2,5]	10.673	0.098	10.491	10.669	10.878
beta_H[3,5]	10.764	0.158	10.479	10.759	11.090
beta_H[4,5]	8.356	0.497	7.394	8.351	9.356
beta_H[5,5]	5.201	0.595	3.786	5.279	6.155
beta_H[6,5]	9.010	0.640	8.055	8.872	10.438
beta_H[7,5]	6.575	0.346	5.894	6.574	7.259
beta_H[8,5]	8.253	0.218	7.906	8.233	8.700
beta_H[9,5]	8.190	0.458	7.306	8.195	9.078
beta_H[10,5]	10.042	0.228	9.608	10.044	10.503
beta_H[11,5]	11.592	0.225	11.165	11.590	12.038
beta_H[12,5]	8.613	0.192	8.232	8.613	8.991
beta_H[13,5]	10.135	0.129	9.886	10.132	10.389
beta_H[14,5]	9.246	0.216	8.840	9.236	9.693
beta_H[15,5]	11.314	0.236	10.866	11.311	11.784
beta_H[16,5]	9.861	0.181	9.487	9.870	10.192
beta_H[1,6]	10.124	0.240	9.748	10.091	10.717
beta_H[2,6]	11.471	0.116	11.244	11.472	11.702
beta_H[3,6]	10.616	0.155	10.287	10.624	10.901
beta_H[4,6]	12.892	0.893	11.075	12.904	14.625
beta_H[5,6]	5.681	0.638	4.532	5.650	6.957
beta_H[6,6]	8.741	0.589	7.401	8.777	9.802
beta_H[7,6]	10.548	0.588	9.370	10.549	11.708
beta_H[8,6]	9.530	0.281	8.992	9.552	9.961
beta_H[9,6]	8.298	0.755	6.810	8.288	9.818
beta_H[10,6]	9.140	0.349	8.399	9.159	9.764
beta_H[11,6]	10.684	0.366	9.911	10.703	11.337
beta_H[12,6]	9.377	0.240	8.920	9.369	9.891
beta_H[13,6]	11.092	0.152	10.800	11.092	11.399
beta_H[14,6]	9.923	0.281	9.344	9.925	10.472
beta_H[15,6]	10.515	0.424	9.661	10.529	11.342
beta_H[16,6]	10.587	0.254	10.041	10.594	11.067
beta_H[1,7]	10.153	1.272	6.848	10.436	11.933
beta_H[2,7]	12.116	0.515	10.971	12.146	13.061
beta_H[3,7]	10.286	0.676	8.841	10.343	11.492
beta_H[4,7]	1.530	4.648	-7.715	1.545	10.630
beta_H[5,7]	5.819	2.123	1.926	5.906	9.819
beta_H[6,7]	7.180	3.226	-1.162	8.285	11.198
beta_H[7,7]	7.644	2.933	1.923	7.612	13.436
beta_H[8,7]	10.913	1.017	9.344	10.881	12.578
beta_H[9,7]	4.862	3.934	-2.806	4.819	12.789
beta_H[10,7]	10.035	1.654	7.094	9.883	13.548
beta_H[11,7]	11.397	1.824	8.087	11.215	15.370
beta_H[12,7]	9.782	0.978	7.654	9.836	11.464
beta_H[13,7]	11.705	0.699	10.101	11.780	12.871
beta_H[14,7]	10.624	0.944	8.784	10.654	12.382
beta_H[15,7]	14.099	2.213	9.872	14.093	18.547
beta_H[16,7]	12.886	1.405	10.427	12.752	15.917
beta0_H[1]	8.758	18.205	-26.678	8.527	47.247
beta0_H[2]	10.477	7.948	-6.137	10.643	25.570
beta0_H[3]	9.718	10.420	-9.657	9.561	31.094
beta0_H[4]	9.281	183.032	-352.262	4.684	376.742
beta0_H[5]	4.866	27.150	-47.308	4.697	58.321
beta0_H[6]	7.011	51.697	-106.590	7.988	116.911
beta0_H[7]	4.310	138.373	-288.386	7.318	277.377
beta0_H[8]	5.922	34.588	-18.495	6.467	29.430
beta0_H[9]	8.567	121.396	-226.680	8.217	251.448
beta0_H[10]	7.458	37.724	-71.313	8.188	78.673
beta0_H[11]	9.537	50.242	-95.678	9.071	115.746
beta0_H[12]	6.529	12.340	-17.362	6.594	30.900
beta0_H[13]	9.564	10.621	-12.123	9.863	28.797
beta0_H[14]	7.041	12.252	-17.503	7.317	30.363
beta0_H[15]	8.653	111.546	-208.780	8.225	238.551
beta0_H[16]	7.390	30.665	-55.148	6.992	73.691

Rockfish Historical Harvest Estimates

Phil Joy & Adam Reimer

February 2025